Prospect of using machine learning-based microwave nondestructive testing technique for corrosion under insulation: A review

TS Yee, NHMM Shrifan, AJA Al-Gburi, NAM Isa… - IEEE …, 2022 - ieeexplore.ieee.org
Corrosion under insulations is described as localized corrosion that forms because of
moisture penetration through the insulation materials or due to contaminants' presence …

Prediction of pipeline fatigue crack propagation under rockfall impact based on multilayer perceptron

M Xie, Y Wang, J Zhao, X Pei, T Zhang - Reliability Engineering & System …, 2024 - Elsevier
Recently, the artificial intelligence technologies have been widely used in the field of
pipeline integrity management. When crossing mountains, pipelines would inevitably …

Measurement of reinforcement corrosion in concrete adopting ultrasonic tests and artificial neural network

Y Xu, R Jin - Construction and Building Materials, 2018 - Elsevier
Limited research has been performed in testing and measuring the reinforcement corrosion
levels using non-destructive tests. This research applied ultrasonic-based non-destructive …

Shear strength prediction of reinforced concrete beams by baseline, ensemble, and hybrid machine learning models

JS Chou, TPT Pham, TK Nguyen, AD Pham, NT Ngo - Soft Computing, 2020 - Springer
The shear strength of reinforced concrete (RC) beams is critical in the design of structural
members. Developing an effective mathematical method for accurately estimating shear …

Predicting corrosion damage in the human body using artificial intelligence: in vitro progress and future applications

MA Kurtz, R Yang, MSR Elapolu… - Orthopedic …, 2023 - orthopedic.theclinics.com
INTRODUCTION Artificial Intelligence in Orthopedics Artificial intelligence (AI) and machine
learning (ML) are increasingly used in orthopedics to assess patient risk, improve diagnostic …

Prediction method of key corrosion state parameters in refining process based on multi-source data

J Yang, G Suo, L Chen, Z Dou, Y Hu - Energy, 2023 - Elsevier
Corrosion problems have threatened long-term safe and stable operation of refining units. At
present, refining enterprises mainly use corrosion monitoring and detection to identify …

Degradation Models and Maintenance Strategies for Reinforced Concrete Structures in Coastal Environments under Climate Change: A Review

LF Rincon, YM Moscoso, AEA Hamami, JC Matos… - Buildings, 2024 - mdpi.com
Modern engineering faces challenges in ensuring technical standards for service, durability,
and sustainability. Political, administrative, and budgetary factors, coupled with climate …

[HTML][HTML] On the application of neural networks for service life prediction of steel fibre-reinforced concrete

A Michel, V Marcos-Meson - Journal of Building Engineering, 2023 - Elsevier
While physics-based modelling entails the capability to describe the mechanisms and
physics of a system across multiple scales, these models often are decoupled from external …

[HTML][HTML] Electrochemical behavior and corrosion rate prediction study of alloy 690

W Wang, Y Zhou, B Liang, B Wang, M Zhang… - International Journal of …, 2022 - Elsevier
Alloy 690 is a material commonly used in heat transfer tubes of steam generators (SGTs).
The electrochemical corrosion behavior in different volumes (V) of NaCl–Na 2 S 2 O 3 …

Modeling the corrosion rate of carbon steel in carbonated mixtures of MDEA-based solutions using artificial neural network

Q Li, D Wang, M Zhao, M Yang, J Tang… - Process Safety and …, 2021 - Elsevier
Amine-based CO 2 absorption process has the benefit of purifying produced natural gas and
reducing greenhouse gas emissions; however, it is associated with corrosion issues. This …